Dongsoo Lee
Orcid: 0000-0002-6730-7125
According to our database1,
Dongsoo Lee
authored at least 50 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization.
CoRR, 2024
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation.
CoRR, 2024
32.2 A 24.25-to-29.5GHz Extremely Compact Doherty Power Amplifier with Differential-Breaking Phase Offset Achieving 23.7% PAEavg for 5G Base-Station Transceivers.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024
2023
V-LSTM: An Efficient LSTM Accelerator Using Fixed Nonzero-Ratio Viterbi-Based Pruning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., October, 2023
Machine learning-based quantification for disease uncertainty increases the statistical power of genetic association studies.
Bioinform., September, 2023
Fully Parallel, One-Cycle Random Shuffling for Efficient Countermeasure in Post-Quantum Cryptography.
IACR Cryptol. ePrint Arch., 2023
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models.
CoRR, 2023
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization.
Proceedings of the International Conference on Machine Learning, 2023
Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
TF-MVP: Novel Sparsity-Aware Transformer Accelerator with Mixed-Length Vector Pruning.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
2022
nuQmm: Quantized MatMul for Efficient Inference of Large-Scale Generative Language Models.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Augmenting Magnetic Resonance Imaging with Tabular Features for Enhanced and Interpretable Medial Temporal Lobe Atrophy Prediction.
Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022
Volume is All You Need: Improving Multi-task Multiple Instance Learning for WMH Segmentation and Severity Estimation.
Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation.
Proceedings of the 2022 IEEE Hot Chips 34 Symposium, 2022
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
2021
CoRR, 2021
Sequential Encryption of Sparse Neural Networks Toward Optimum Representation of Irregular Sparsity.
CoRR, 2021
A mechanistically interpretable model of the retinal neural code for natural scenes with multiscale adaptive dynamics.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
BiQGEMM: matrix multiplication with lookup table for binary-coding-based quantized DNNs.
Proceedings of the International Conference for High Performance Computing, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
A Review of On-Device Fully Neural End-to-End Automatic Speech Recognition Algorithms.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
CoRR, 2019
Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network.
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
A Scalable Multi- TeraOPS Deep Learning Processor Core for AI Trainina and Inference.
Proceedings of the 2018 IEEE Symposium on VLSI Circuits, 2018
Proceedings of the International Symposium on Low Power Electronics and Design, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
Proceedings of the Information Security and Cryptology - ICISC 2017 - 20th International Conference, Seoul, South Korea, November 29, 2017
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017
2016
IEEE Trans. Very Large Scale Integr. Syst., 2016
Optimal wavelength provisioning with fuzzy logic control for power saving in TWDM-PONs.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2016
2014
Proceedings of the VLSI-SoC: Internet of Things Foundations, 2014
2013
IEEE Trans. Very Large Scale Integr. Syst., 2013
Fast management of ONUs based on broadcast control channel for a 10-gigabit-capable passive optical network (XG-PON) system.
J. Commun. Networks, 2013
2012
IEEE Trans. Very Large Scale Integr. Syst., 2012
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2012
Proceedings of the International Symposium on Low Power Electronics and Design, 2012
2011
Proceedings of the 29th IEEE VLSI Test Symposium, 2011
Column-selection-enabled 8T SRAM array with ~1R/1W multi-port operation for DVFS-enabled processors.
Proceedings of the 2011 International Symposium on Low Power Electronics and Design, 2011